Image Stitching Implementation Using MATLAB

Image stitching implementation using MATLAB refers to the process of merging two or more images with overlapping regions to create a larger, composite image. This technique enables broader field of view and enhanced detail representation by combining multiple image perspectives. MATLAB facilitates automated image processing through its Computer Vision Toolbox, which includes essential functions like detectSURFFeatures for keypoint detection, matchFeatures for correspondence matching, and estimateGeometricTransform for spatial alignment. The stitching pipeline typically involves feature extraction, image registration, transformation estimation, and seamless blending using techniques like weighted averaging or multiband blending. Additionally, MATLAB's Image Processing Toolbox allows for post-processing operations such as brightness adjustment, contrast enhancement, and color balance correction through functions like imadjust and histeq. This integrated approach not only improves processing efficiency but also ensures high-quality composite results with minimal visible seams and artifacts.